ArticleJournal of medical genetics2018
Evaluation of polygenic risk scores for ovarian cancer risk prediction in a prospective cohort study.
Article in Journal of medical genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Investigation of Shared Genetic Risk Factors Between Parkinson's Disease and Cancers.Movement disorders : official journal of the Movement Disorder Society · 2023Pooled it
- Using Polygenic Risk Scores to Refine Risk and Outcomes in High-grade Serous Ovarian Cancer in Australia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- AI-driven integration of genomic and exposome data for cancer risk: the combined risk score (CRS).Human genomics · 2026Review
- Novel driver gene MDC1 confers homologous recombination repair deficiency and genomic instability in chemoresistant relapsing ovarian cancer.Journal of translational medicine · 2026Article
- Review
- Polygenic risk scores: Navigating the future of precision medicine through economic, ethical, and scientific advancements.iScience · 2026Review
- Review
- Environment, lifestyle, and cancer in women.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025Review
- Standardization, Education, and Resourcing: The Way Forward for Implementing Polygenic Risk Scores in Hereditary Breast and Ovarian Cancer.Clinical and translational science · 2025Article
- Ovarian cancer risk prediction: a clinical epidemiology perspective.American journal of epidemiology · 2025Article
- Reduced Breast and Ovarian Cancer Through Targeted Genetic Testing: Estimates Using the NEEMO Microsimulation Model.Cancers · 2024Article
- Germline Genetic Testing for Hereditary Breast and Ovarian Cancer: Current Concepts in Risk Evaluation.Cold Spring Harbor perspectives in medicine · 2024Review
- A comprehensive analysis of germline predisposition to early-onset ovarian cancer.Scientific reports · 2024Article
- Review
- Early-Onset Ovarian Cancer <30 Years: What Do We Know about Its Genetic Predisposition?International journal of molecular sciences · 2023Review
- Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors.Journal of medical genetics · 2022Article
- Genetic, clinic and histopathologic characterization of BRCA-associated hereditary breast and ovarian cancer in southwestern Finland.Scientific reports · 2022Article
- Unselected Population Genetic Testing for Personalised Ovarian Cancer Risk Prediction: A Qualitative Study Using Semi-Structured Interviews.Diagnostics (Basel, Switzerland) · 2022Article
- Polygenic risk modeling for prediction of epithelial ovarian cancer risk.European journal of human genetics : EJHG · 2022Article
- The DNA methylome of cervical cells can predict the presence of ovarian cancer.Nature communications · 2022Observational
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
backgroundGenome-wide association studies have identified >30 common SNPs associated with epithelial ovarian cancer (EOC). We evaluated the combined effects of EOC susceptibility SNPs on predicting EOC risk in an independent prospective cohort study.
methodsWe genotyped ovarian cancer susceptibility single nucleotide polymorphisms (SNPs) in a nested case-control study (750 cases and 1428 controls) from the UK Collaborative Trial of Ovarian Cancer Screening trial. Polygenic risk scores (PRSs) were constructed and their associations with EOC risk were evaluated using logistic regression. The absolute risk of developing ovarian cancer by PRS percentiles was calculated.
resultsThe association between serous PRS and serous EOC (OR 1.43, 95% CI 1.29 to 1.58, p=1.3×10
conclusionPRSs can be used to predict future risk of developing ovarian cancer for women in the general population. Incorporation of PRSs into risk prediction models for EOC could inform clinical decision-making and health management.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.